DocumentCode
2804469
Title
Diffusion leakage model study on chemical materials taking Liquid Ammonia as an example
Author
Fan, Yijun ; Song, Guobao ; Li, Jiaojiao ; Zhang, Shushen
Author_Institution
Key Lab. of Ind. Ecology & Environ. Eng. (MOE), Dalian Univ. of Technol., Dalian, China
fYear
2011
fDate
15-17 July 2011
Firstpage
3052
Lastpage
3055
Abstract
It is important to select the correct diffusion model to predict the leakage concentrate of hazardous materials according to their molecular weight properties. Generally speaking, the Gauss diffusion model is usually used for predict light gas diffusion and SLAB model for weight gas. However diffusion model selection is also determined by storage condition, which can greatly change the physical condition and influence predictive model selection. In paper, we took liquid ammonia as an example. Ammonia is gaseous in normal temperature and pressure, and usually be converted into liquid by high pressure storage condition in practice. The gauss model and LSAB model were used in this paper to compare the difference of diffusion process. The result is as follows. For one thing, the spatial dimension predicted by Gauss model was greatly less than that of SLAB model accompanied by much wide spatial range in horizon direction to the predominant wind direction. For another, referencing to AEGL-1 standard, the longest diffusion distance in 4650s by SLAB model is about 6132 meters and the result predicted by Gauss model is about 2880 meters. The difference of influence spatial scope and diffusion distance predicted by two models is 44.7% and 77.2%. So it should be cautious when selecting diffusion model to predict the hazardous material leakage.
Keywords
Gaussian processes; ammonia; diffusion; environmental factors; hazardous materials; storage; Gauss diffusion model; SLAB model; chemical material; diffusion leakage model; hazardous material; leakage concentrate; light gas diffusion; liquid ammonia; molecular weight; predictive model selection; spatial dimension; storage condition; Biological system modeling; Chemicals; Dispersion; Hazardous materials; Predictive models; Slabs; Dagushan Peninsula; GIS; Gaussian model; SLAB; ammonia leakage; hazardous chemicals;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location
Hohhot
Print_ISBN
978-1-4244-9436-1
Type
conf
DOI
10.1109/MACE.2011.5987633
Filename
5987633
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